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In this episode of the AI Space Podcast, Sanjay Kalluvilayil and Julian Goldie unpact the real AI impact on SEO, what’s changing, what’s breaking, and what still wins. Julian shares how he adapted his agency as AI accelerated faster than most teams expected, why “SEO” is dead is the wrong framing, and how to evolve into AI-first search and content systems as SEO changes in 2026.

They dive into the practical and ethical realities of using AI in business today. They discuss responsible AI development, including issues around hallucinations, bias, intellectual property, and the risks of blindly trusting AI-generated outputs without proper QA. The conversation also highlights how entrepreneurs can reclaim time by automating repetitive tasks, enabling them to focus on higher-impact work instead of mundane tasks. Listeners walk away with both strategic encouragement and a clear reminder that AI is most powerful when paired with human judgment, verification, and intentional system-building.

INSIGHT #1

Optimizing SEO Vs. GEO
As search shifts from blue links to AI answers, it’s critical to train LLM models to "learn" your brand as the authority across the web and social media. Establishing this digital presence now will determine whether AI systems recommend your business or your competitors when users ask for solutions in your space.

INSIGHT #2

GEO is the New Moat
AI enables the creation of high-quality, low-cost content and marketing, while simultaneously powering lead generation and automated outreach at scale. This dual capability allows businesses to attract and engage prospects more efficiently than ever before.

INSIGHT #3

Execution Speed becomes the Advantage
AI significantly reduces content generation and testing costs, enabling teams to iterate faster and compound wins, while their competitors are still debating whether to adopt these tools. Speed of execution has become the new competitive advantage in an AI-enabled market.

AI Slop
Low-quality, mass-produced AI-generated content that lacks originality, accuracy, or human value, often created to game algorithms or flood digital platforms.

Ethical AI & Responsible Use
Balancing AI innovation with responsible development, highlighting the need for transparency, verification, and human judgment when deploying AI in real-world applications.

Intellectual Property (IP) Awareness
Open-source tools can offer flexibility, but some platforms may impose licensing restrictions or royalties when building on top of them. Understanding IP implications is critical before integrating AI software into products or services.

Human Oversight & Quality Assurance
Blind reliance on AI outputs poses serious risks. Human review and validation remain essential, especially in high-stakes environments where inaccuracies can lead to legal or reputational consequences.

AI Hallucinations
When large language models generate false, misleading, or fabricated information because they prioritize producing confident responses over admitting uncertainty, highlighting the need for human oversight and fact-checking in AI-generated content.

Bias & Commentary Injection
hen AI systems unintentionally add biased language, opinions, or subjective commentary to responses intended to be factual, underscoring the need for precise prompting and careful review of AI outputs.

False Authority Risk
When AI tools confidently present inaccurate or fabricated information, such as citing non-existent sources or misrepresenting documents, emphasizing the importance of verifying AI-generated claims before trusting them as authoritative.

Automation Over Repetition
Rather than spending hours on repetitive tasks like email responses, the episode highlights the value of investing time upfront to automate workflows and reclaim long-term productivity.

GEO (Generative Engine Optimization)
The practice of optimizing content to appear in AI-generated search results and conversational responses, helping brands stay visible as search shifts from keywords to generative AI engines.

SEO (Search Engine Optimization)
Process of improving a website’s visibility in search engine results to increase organic traffic, brand awareness, and conversions.

System-Building Mindset
AI is positioned as a tool for creating scalable systems, not just speeding up individual tasks, enabling founders and operators to focus on higher-impact work.

ChatGPT
AI large language model developed by OpenAI that engages in natural conversation, generates human-like text, and assists with writing, analysis, coding, and problem-solving across diverse topics..

Claude
AI large language model developed by Anthropic, designed for natural conversation, advanced reasoning, and safe, context-aware assistance across writing, analysis, and coding tasks.

Eleven Labs
AI voice generation and cloning platform that creates ultra-realistic, human-like speech for content, podcasts, and applications in multiple languages and tones.

HeyGen
AI video generation platform that enables users to create realistic talking avatar videos from text, combining lifelike voice, face, and motion synthesis for content and business communication.

Google
Referenced in the context of podcast discovery and algorithmic learning, particularly how pre-publishing and premiering content helps platforms understand and distribute episodes more effectively.

Gemini 3.0

Google’s latest LLM, Gemini 3.0, delivers next-level AI with deep reasoning, native multimodality, agentic automation, and Vibe Coding—powered by a 1M+ context window for complex, end-to-end execution.

GenSpark
AI-powered workspace and search platform that enables users to research, learn, and create faster by combining real-time web insights with generative reasoning and collaboration tools.

Google Studio
Creative management platform that enables users to design, build, and manage rich media ads and interactive digital experiences across Google’s advertising ecosystem.

Google VEO
Advanced text-to-video and image-to-video AI model developed by Google DeepMind that creates high-definition, cinematic-quality videos with realistic physics and synchronized audio, including dialogue and sound effects

Large Language Models (LLMs)
Advanced AI systems trained on massive text datasets that understand, generate, and reason with human language to power chatbots, content creation, coding, and knowledge retrieval.

LinkedIn
Highlighted as a key business networking platform for connecting with guests, promoting episodes, and engaging with professional audiences.

OpusClip
AI video repurposing tool that automatically transforms long-form videos into short, shareable clips optimized for social media engagement.

Perplexity AI
AI-powered search and answer engine that delivers concise, cited responses by combining large language models with real-time web data. Mentioned as a research tool where factual inaccuracies and misquotations can occur if outputs are not carefully verified.

Podcasts - Spotify & Apple
Mentioned as primary podcast distribution platforms for reaching broader audiences.

Retrieval-Augmented Generation (RAG)
AI framework that enhances language models by retrieving relevant external information from databases or the web before generating more accurate and context-aware responses.

YouTube
Google’s global online video sharing platform for uploading, viewing, rating, sharing, and commenting on content, with tools for podcast hosting, premiere scheduling, and a new creator collaboration feature that helps podcasters test audience growth and shared visibility.

Zapier
Automation platform that connects apps and workflows, enabling users to streamline tasks and move data automatically without coding.
—> Check Out Wade Foster, CEO, Zapier Episode

The new generation of leaders is inventing their careers by leveraging AI and automation to create opportunities and scale impact. They build personal brands across LinkedIn, YouTube, and podcasts, positioning their expertise directly in front of audiences while iterating quickly with new tools and formats. These leaders strike a balance between rapid innovation and ethical considerations—addressing IP, security, and bias—while leveraging strategic networking and community presence to amplify their reach and accelerate career growth.

If you’re new here, this playlist explains Guest motivation for sharing their journey to AI and insights on this show. We focus on practical conversations with founders, operators, and investors who are building real AI businesses and systems, not just discussing the hottest trends and moving beyond the AI hype.

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The result is a high-signal, zero-hype platform offering practical insights, technical clarity, and thoughtful perspectives leaders can apply as they build confidently in The AI Space. The podcast is dedicated to helping founders, innovators, technologists, and innovators to create a lasting and positive legacy in a rapidly transforming world.

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